Data is often inaccessible in healthcare settings, due to a variety of patient privacy laws and institutional policies. To address this obstacle and make data-sharing easier, several open-source projects have emerged.

As Digital Breast Tomosynthesis (DBT) increasingly becomes the standard of care for mammographic imaging, stakeholders say there is a need for algorithms to optimize reading efficiency while maintaining or improving the accuracy achieved with DBT.